Ligand-gated ion channels propagate electrochemical signals in the nervous system. A diverse set of allosteric modulators including stimulants, anesthetics, and lipids regulate their function; however, structures of ligand-bound complexes can be difficult to capture by experimental methods, particularly when binding is dynamic or transient. Here, we used computational methods and electrophysiology to identify a possible bound state of a modulatory stimulant derivative in a cryptic vestibular pocket of a mammalian serotonin-3A receptor. Starting from a closed-pocket experimental structure, we first applied a molecular dynamics simulations-based goal-oriented adaptive sampling method to identify possible open-pocket conformations. To find plausible ligand-binding poses, we performed Boltzmann docking, which combines traditional docking with Markov state modeling, of the newly sampled conformations. Clustering and analysis of stability and accessibility of docked poses supported a preferred binding site; we further 1.